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Lymphoma

Overview of attention for book
Cover of 'Lymphoma'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Origin and Pathogenesis of B Cell Lymphomas
  3. Altmetric Badge
    Chapter 2 Flow cytometry for non-hodgkin and classical hodgkin lymphoma.
  4. Altmetric Badge
    Chapter 3 Laser-Based Microdissection of Single Cells from Tissue Sections and PCR Analysis of Rearranged Immunoglobulin Genes from Isolated Normal and Malignant Human B Cells
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    Chapter 4 PCR-Based Analysis of Rearranged Immunoglobulin or T-Cell Receptor Genes by GeneScan Analysis or Heteroduplex Analysis for Clonality Assessment in Lymphoma Diagnostics
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    Chapter 5 Expression Cloning of Human B Cell Immunoglobulins
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    Chapter 6 Studying the Replication History of Human B Lymphocytes by Real-Time Quantitative (RQ)-PCR.
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    Chapter 7 The Detection of Chromosomal Translocations Involving the Immunoglobulin Loci in B-Cell Malignancies
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    Chapter 8 Stereotyped B Cell Receptors in B Cell Leukemias and Lymphomas
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    Chapter 9 Flow Cytometric MRD Detection in Selected Mature B-Cell Malignancies
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    Chapter 10 MRD Detection in B-Cell Non-Hodgkin Lymphomas Using Ig Gene Rearrangements and Chromosomal Translocations as Targets for Real-Time Quantitative PCR
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    Chapter 11 Enrichment of Methylated DNA by Methyl-CpG Immunoprecipitation
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    Chapter 12 Gene Expression Profile Analysis of Lymphomas
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    Chapter 13 FISH and FICTION to Detect Chromosomal Aberrations in Lymphomas
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    Chapter 14 Identification of Pathogenetically Relevant Genes in Lymphomagenesis by shRNA Library Screens
  16. Altmetric Badge
    Chapter 15 Lymphoma
  17. Altmetric Badge
    Chapter 16 Molecular Methods of Virus Detection in Lymphoma
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    Chapter 17 High-throughput RNA sequencing in B-cell lymphomas.
Attention for Chapter 17: High-throughput RNA sequencing in B-cell lymphomas.
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Chapter title
High-throughput RNA sequencing in B-cell lymphomas.
Chapter number 17
Book title
Lymphoma
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-269-8_17
Pubmed ID
Book ISBNs
978-1-62703-268-1, 978-1-62703-269-8
Authors

Xiao W, Tran B, Staudt LM, Schmitz R, Wenming Xiao, Bao Tran, Louis M. Staudt, Roland Schmitz

Abstract

High-throughput mRNA sequencing (RNA-seq) uses massively parallel sequencing to allow an unbiased analysis of both genome-wide transcription levels and mutation status of a tumor. In the RNA-seq method, complementary DNA (cDNA) is used to generate short sequence reads by immobilizing millions of amplified DNA fragments onto a solid surface and performing the sequence reaction. The resulting sequences are aligned to a reference genome or transcript database to create a comprehensive description of the analyzed transcriptome. This chapter describes a protocol to perform RNA-seq using the Illumina sequencing platform, presents sequencing data quality metrics and outlines a bioinformatic pipeline for sequence alignment, digital gene expression, and mutation discovery.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Researcher 6 38%
Student > Bachelor 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 56%
Biochemistry, Genetics and Molecular Biology 5 31%
Social Sciences 1 6%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2013.
All research outputs
#14,742,867
of 22,693,205 outputs
Outputs from Methods in molecular biology
#4,652
of 13,045 outputs
Outputs of similar age
#176,349
of 282,341 outputs
Outputs of similar age from Methods in molecular biology
#169
of 345 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,045 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 282,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.